Benoit Iung

922 total citations
11 papers, 642 citations indexed

About

Benoit Iung is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality and Industrial and Manufacturing Engineering. According to data from OpenAlex, Benoit Iung has authored 11 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 5 papers in Safety, Risk, Reliability and Quality and 3 papers in Industrial and Manufacturing Engineering. Recurrent topics in Benoit Iung's work include Reliability and Maintenance Optimization (5 papers), Systems Engineering Methodologies and Applications (2 papers) and Quality and Safety in Healthcare (2 papers). Benoit Iung is often cited by papers focused on Reliability and Maintenance Optimization (5 papers), Systems Engineering Methodologies and Applications (2 papers) and Quality and Safety in Healthcare (2 papers). Benoit Iung collaborates with scholars based in France, China and Austria. Benoit Iung's co-authors include Hervé Panetto, Phuc Do, Alexandre Voisin, Éric Levrat, Dmitry Ivanov, Georg Weichhart, Xiaofan Wang, Salvatore Miranda, Stefano Riemma and Chiara Franciosi and has published in prestigious journals such as CIRP Annals, Reliability Engineering & System Safety and Engineering Applications of Artificial Intelligence.

In The Last Decade

Benoit Iung

10 papers receiving 620 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Benoit Iung France 7 260 233 124 111 110 11 642
W. Klingenberg Netherlands 17 303 1.2× 166 0.7× 114 0.9× 97 0.9× 169 1.5× 26 763
Royce O. Bowden United States 12 150 0.6× 342 1.5× 75 0.6× 53 0.5× 118 1.1× 20 691
Zied Hajej France 13 359 1.4× 123 0.5× 249 2.0× 40 0.4× 232 2.1× 68 560
Richard Dwight Australia 14 255 1.0× 46 0.2× 87 0.7× 40 0.4× 105 1.0× 37 640
Nanua Singh United States 15 258 1.0× 295 1.3× 107 0.9× 39 0.4× 101 0.9× 39 854
Amik Garg India 6 189 0.7× 66 0.3× 112 0.9× 46 0.4× 139 1.3× 14 516
Mani Sharifi Iran 21 617 2.4× 336 1.4× 119 1.0× 117 1.1× 103 0.9× 72 1.0k
Mehmet Savsar Kuwait 15 161 0.6× 405 1.7× 58 0.5× 35 0.3× 127 1.2× 67 630
Adnène Hajji Canada 21 234 0.9× 307 1.3× 371 3.0× 107 1.0× 392 3.6× 59 934
Ping‐Chen Chang Taiwan 19 472 1.8× 284 1.2× 75 0.6× 86 0.8× 90 0.8× 89 914

Countries citing papers authored by Benoit Iung

Since Specialization
Citations

This map shows the geographic impact of Benoit Iung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Benoit Iung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benoit Iung more than expected).

Fields of papers citing papers by Benoit Iung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benoit Iung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benoit Iung. The network helps show where Benoit Iung may publish in the future.

Co-authorship network of co-authors of Benoit Iung

This figure shows the co-authorship network connecting the top 25 collaborators of Benoit Iung. A scholar is included among the top collaborators of Benoit Iung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benoit Iung. Benoit Iung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Demesure, Guillaume, Hind Bril El-Haouzi, & Benoit Iung. (2021). Mobile-agents based hybrid control architecture—implementation of consensus algorithm in hierarchical control mode. CIRP Annals. 70(1). 385–388.
2.
Panetto, Hervé, Benoit Iung, Dmitry Ivanov, Georg Weichhart, & Xiaofan Wang. (2019). Challenges for the cyber-physical manufacturing enterprises of the future. Annual Reviews in Control. 47. 200–213. 191 indexed citations
4.
Do, Phuc, et al.. (2018). Energy efficiency for condition-based maintenance decision-making: Application to a manufacturing platform. Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability. 232(4). 379–388. 16 indexed citations
5.
Franciosi, Chiara, Benoit Iung, Salvatore Miranda, & Stefano Riemma. (2018). Maintenance for Sustainability in the Industry 4.0 context: a Scoping Literature Review. IFAC-PapersOnLine. 51(11). 903–908. 111 indexed citations
6.
Medina-Oliva, Gabriela, et al.. (2014). Key factor identification for energy consumption analysis. PHM Society European Conference. 2(1). 3 indexed citations
7.
Do, Phuc, Alexandre Voisin, Éric Levrat, & Benoit Iung. (2014). A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions. Reliability Engineering & System Safety. 133. 22–32. 226 indexed citations
8.
Iung, Benoit, et al.. (2012). Regeneration engineering for improving technical asset life cycle: an application to weapon systems availability assessment. HAL (Le Centre pour la Communication Scientifique Directe). 1(1). 69–69. 1 indexed citations
10.
Iung, Benoit, et al.. (2007). A METHODOLOGY FOR WEAPON SYSTEM AVAILABILITY ASSESSMENT, INCORPORATING FAILURE, DAMAGE AND REGENERATION. IFAC Proceedings Volumes. 40(6). 157–162. 5 indexed citations
11.
Iung, Benoit, et al.. (2003). A multi-agents based E-maintenance system with case-based reasoning decision support. Engineering Applications of Artificial Intelligence. 16(4). 321–333. 75 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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